Computational Autonomy

We develop algorithms for computationally enabling decision making under uncertainty in autonomous systems. We use and create tools in the areas of uncertainty quantification, Bayesian inference, statistics, data analysis, machine learning, numerical analysis, tensor methods, stochastic optimal control and optimization